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A Fast Pedestrian Detection Method Based on Vision

A pedestrian detection and pedestrian technology, which is used in instruments, character and pattern recognition, computer parts, etc., can solve the problems of low pedestrian detection accuracy, slow detection speed, and low calculation rate.

Active Publication Date: 2016-03-23
ZHEJIANG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the vision-based pedestrian detection system generally has poor adaptability to the road, and the detection speed is relatively slow, and the processing speed is generally lower than 1 second per frame (frame per second, fps)
At the same time, the accuracy of pedestrian detection is generally not high
Therefore, aiming at the problems of low calculation rate and poor road adaptability of the vision-based pedestrian detection system, the present invention proposes a fast pedestrian detection method based on vision scheme, which can realize real-time pedestrian detection rate and ensure certain pedestrian detection At the same time, this method has a strong adaptability to road and pedestrian diversity, and has the prospect of engineering application

Method used

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  • A Fast Pedestrian Detection Method Based on Vision
  • A Fast Pedestrian Detection Method Based on Vision
  • A Fast Pedestrian Detection Method Based on Vision

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Embodiment Construction

[0019] The purpose and effects of the present invention will become more apparent by describing the present invention in detail below in conjunction with the accompanying drawings. The background subtraction method based on the color invariant parameter of the present invention comprises the following steps:

[0020] Step 1: Obtain video images on the road ahead of the vehicle through the camera installed on the vehicle.

[0021] The specific method of the method of the present invention to gather image is as figure 1 As shown, the camera used is PAL system, and the resolution of each frame image is 352*288.

[0022] Step 2: Calculate the color-invariant parameter feature channel image, HOG feature channel image, and gradient magnitude feature channel image for the input image, and obtain , , , feature channel image, where , , is the color-invariant parameter feature channel image, is the HOG feature channel image, Gradient magnitude feature channel image. ...

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Abstract

The invention discloses a rapid pedestrian detection method based on vision. The rapid pedestrian detection method comprises the following steps of: firstly obtaining a video image of an advancing vehicle on a road by a camera arranged in a vehicle, taking Haar-like features as pedestrian description features, constructing a multi-scale cascade classifier which serves as a pedestrian detector, rapidly realizing classification and identification of pedestrians and non-pedestrians in real time by adopting a series connection and cascade connection strategy, and finally determining a sliding window best matched with the pedestrian features by using a non-maximum value suppression method and determining the locations of the pedestrians. If the sliding window matched with the pedestrian characteristics does not exist through the judgment in the steps, no pedestrian occurs in an input image. The rapid pedestrian detection method has the advantages that a pedestrian detection technology is put into practical use, can be applied to practical engineering applications and has enormous applicable prospect in fields such as security and protection video monitoring and automobile active defense security.

Description

technical field [0001] The invention relates to computer vision technology and the field of advanced assisted driving of automobiles, in particular to a vision-based fast pedestrian detection method. technical background [0002] With the rapid increase in the number of cars in the last decade, road traffic safety has become an important issue worldwide. A World Health Organization report shows that traffic accidents are one of the main causes of casualties, and traffic accidents cause casualties worldwide every year There were about 10 million people, of which 2-3 million were serious casualties. Vulnerable road users (such as pedestrians, cyclists and other small vehicle occupants) account for the vast majority of victims in traffic accidents. According to statistics on traffic accidents reported in the United States in 2003, among the 35,000 road traffic casualties in the United States, 5,000 cases involved collisions between pedestrians and vehicles; in the European Uni...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
Inventor 周泓陈益如杨思思程添蔡宇
Owner ZHEJIANG UNIV